Get access to up-to-date pricing data across food and groceries, electronics, fuel, and energy through an API.
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{
"product": "Search any product",
"coverage": "real-time + historical",
"categories": [
"grocery",
"fuel",
"electronics"
],
"status": "ready"
}
Explore grocery and electronics stores across international markets. Click a country to view store names, category and the number of products we currently index.
Follow price movements over time, compare current values with historical data and turn changing costs into clear business signals.
Query current and historical price data with Openpricengine—without building and maintaining a complex collection pipeline.
Compare food, household and consumer product prices across stores, locations and dates.
Use current fuel and energy pricing to improve costing, logistics and market analysis.
Track fast-moving electronics pricing for sourcing, competitive analysis and resale decisions.
Explore upmarket property price data to support investment research and market intelligence.
Give AI agents price-search, store-comparison, basket-building and market-stat tools through our remote MCP server.
Open Price Engine is designed for teams that need dependable market signals—not another data-cleaning project.
import requests url = 'https://openpricengine.com/api/v1/woolworths/products/query' headers = { 'accept': 'application/json', 'Authorization': 'api-key' } params = { 'productname': 'eggs', 'start_date': '2024-06-25', 'end_date': '2026-06-25', 'currency': 'Default' } response = requests.get(url, headers=headers, params=params) print(response.json())
We combine our pricing infrastructure with custom engineering to build cost models, market intelligence tools and production data pipelines.
Practical research, market updates and technical guides from the Open Price Engine team.
This article examines the importance of data quality, freshness, and transparency in price-intelligence systems, focusing on electronics and retail sectors.
This analysis examines price movements of select electronics products across different retailers and countries, highlighting trends and variations.
This analysis explores data quality, freshness, and responsible AI in retail price-intelligence systems, emphasizing the importance of transparent assumptions.
Use a website domain like walmart.com